Use of Boolean model for texture analysis of grey images

P. García, M. Petrou, Seiichiro Kamata

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

We generalize here the use of the 1D Boolean model for the analysis of grey level textures. Each grey image is first split into eight binary images using different criteria. Each of these binary images is separately analysed with the help of the 1D Boolean model and features are extracted from it. The final grey texture recognition is performed on the basis of these features using several classification criteria. Experiments have been carried out using an image database of 30 grey level textures, all of them with 512 × 512 pixels in size, obtaining correct classification rates between 95% and 100%, according to the classification criterion used.

Original languageEnglish
Pages (from-to)227-235
Number of pages9
JournalComputer Vision and Image Understanding
Volume74
Issue number3
DOIs
Publication statusPublished - 1999 Jun 10
Externally publishedYes

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Binary images
Textures
Pixels
Experiments

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Use of Boolean model for texture analysis of grey images. / García, P.; Petrou, M.; Kamata, Seiichiro.

In: Computer Vision and Image Understanding, Vol. 74, No. 3, 10.06.1999, p. 227-235.

Research output: Contribution to journalArticle

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